ArticleTranslational oncology2026
RNA-Based and DNA-Based Next-Generation Sequencing of KIT and PDGFRA Mutations in Gastrointestinal Stromal Tumors: Analytical Performance and Epidemiologic Insights.
Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Mutations in the KIT and PDGFRA proto-oncogenes are key drivers in gastrointestinal stromal tumors (GIST) and guide targeted therapy. While DNA-based next-generation sequencing (NGS) is standard for mutation detection, RNA sequencing (RNA-Seq) may offer complementary advantages. This study evaluates RNA-Seq performance and presents molecular epidemiologic data from a large DNA-sequenced GIST cohort. RNA-Seq was performed on 24 GIST cases previously analyzed by DNA-based NGS (16 KIT mutants, 5 PDGFRA mutants, 3 wild-type) using the Agilent SureSelectXT RNA Direct Library Prep Kit and an in-house analysis pipeline. RNA-Seq was successful in 21 cases, identifying 13 of 14 KIT mutations and all PDGFRA mutations, including single nucleotide variants (SNV), insertions, and in-frame deletions (3-27 bp). One complex 45 bp deletion-insertion was not detected, though low-level evidence (<10% of reads) was present. Separately, DNA-based NGS results from 579 GIST cases were reviewed to assess mutation prevalence and clinicopathologic associations. Mutations were found in 83.2% of cases (403 KIT, 79 PDGFRA), with secondary KIT mutations in 6.0%. Mutation site correlated with tumor location and patient age; secondary mutations were more frequent in non-gastric tumors. RNA-Seq demonstrates high accuracy for detecting clinically relevant KIT and PDGFRA mutations and may complement DNA-based profiling. The DNA cohort provides broader context for mutation prevalence and patterns in clinical practice.
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